plotly

I'm using R 3.3.3 and RStudio 1.0.136 , and the latest versions of all the packages. I get this error with the plotly package > ggiris <- qplot(Petal.Width, Sepal.Length, data = iris, color = Species) > ggplotly(ggiris) Error in grid.Call(L_convert, x, as.integer(whatfrom), as.integer(whatto), : VECTOR_ELT() can only be applied to a 'list', not a 'NULL' This error does not occur anymore after I "print" the ggplot: > ggiris > ggplotly(ggiris) It occurs not only in RStudio, but also in a Shiny app. Any hint ? Note: This more likely occurs with a "fresh" session (just after opening RStudio). >

I have a plot that I am rendering in shiny using plotly and ggplot2 . However, I do not want the option bar that appears on hover to appear. Is there a way to use ggplotly(p) and remove the option bar? There is a great answer on community plotly the short version: library(plotly) set.seed(100) d <- diamonds[sample(nrow(diamonds), 1000), ] Using ggplotly : p <- ggplot(d, aes(carat, price)) + geom_point() ggplotly(p) %>% config(displayModeBar = F) If you are not using ggplotly you can do: plot_ly(d, x = carat, y = price, text = paste("Clarity: ", clarity), mode = "markers", color = carat, size =

I tried to use "plotly" function but It is not working in my case at all. "ggplot" is working is in a case of 2D but it is giving an error when adding one more axis. How to solve this issue? ggplot(data,aes(x=D1,y=D2,z=D3,color=Sample))+geom_point() How to add one more axis and get the 3D plot in this? Thank You. Since you tagged your question with plotly and said that you've tried to use it with plotly, I think it would be helpful to give you a working code solution in plotly : Creating some data to plot with: set.seed(417) library(plotly) temp <- rnorm(100, mean=30, sd=5) pressure <- rnorm

Assume data library(ggplot2) library(plotly) set.seed(357) xy <- data.frame(letters = rep(c("a", "b", "c"), times = 3), values = runif(9), groups = rep(c("group1", "group2", "group3"), each = 3)) letters values groups 1 a 0.9913409 group1 2 b 0.6245529 group1 3 c 0.5245744 group1 4 a 0.4601817 group2 5 b 0.2254525 group2 6 c 0.5898001 group2 7 a 0.1716801 group3 8 b 0.3195294 group3 9 c 0.8953055 group3 ggplotly( ggplot(xy, aes(x = letters, y = values, group = groups)) + theme_bw() + geom_point() ) My goal is to, on hover, highlight all points that belong to the same group. E.g. on hover over

I'm having a problem trying to install plotly. I proceeded to upgrade anaconda using the command line on Debian 9 and I received the error message "distributed 1.21.0 requires msgpack, which is not installed". Then I tried a conda install mspack , then a pip install --upgade plotly , and I get "distributed 1.22.0 requires msgpack, which is not installed". This 1.22.0 error message is what kicked off my whole upgrading process of many packages. Does this break plotly? Don't know, haven't tried but judging from msgpack website https://msgpack.org/ , it is probable to cause errors. We'll see, I

I want to create a stacked bar chart in R and plotly using iris dataset. In the x-axis, I want to set limits like iris_limits below in the code and the y-axis should contain all the Sepal.Length values which fit into these ranges. I want to pass the values as a single vector. Also, if the limits can be made dynamic by understanding the range of the Sepal.Length instead of hard coding it, please help. I have written a basic script with values to give you an idea. Thanks. library(plotly) iris_limits <- c("1-4", "4-6", "6-8") sepal <- c(2.4,5.4,7.1) data <- data.frame(iris_limits, sepal) p <-